Algorithm Concept for Crash Detection in Passenger Cars

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

ISBN: 3658293942
ISBN 13: 9783658293949
Autor: Leschke, André
Verlag: Springer Vieweg
Umfang: xxxiv, 271 S., 101 s/w Illustr., 56 farbige Illustr., 271 p. 157 illus., 56 illus. in color.
Erscheinungsdatum: 20.03.2021
Auflage: 1/2021
Produktform: Kartoniert
Einband: Kartoniert

State-of-the-art airbag algorithms make a decision to fire restraint systems in a crash by evaluating the deceleration of the entire vehicle during the single events of the accident. In order to meet the ever increasing requirements of consumer test organizations and global legislators, a detailed knowledge of the nature and direction of the crash would be of great benefit. The algorithms used in current vehicles can only do this to a limited extent. André Leschke presents a completely different algorithm concept to solve these problems. In addition to vehicle deceleration, the chronological sequence of an accident and the associated local and temporal destruction of the vehicle are possible indicators for an accident’s severity. Contents State of the art: Vehicle Structure, Restraint Systems, Electronic Systems and Algorithm for Crash Detection Model Proposal for the Description of Thresholdbased Algorithms Simulation Model for Componentspecific Local Loading New Algorithm Concept for Crash Detection based on Local Componentspecific Loads and for the Classification of Load Cases Target Groups – Scientists and students in the field of automotive and mechanical engineering Engineers working in industrial research and development of vehicle safety About the AuthorDr. André Leschke has earned his doctoral degree from Tor-Vergata University of Rome, Italy. Currently, he is working as head of a team of vehicle safety developers in the German automotive industry.

Artikelnummer: 936971 Kategorie:

Beschreibung

State-of-the-art airbag algorithms make a decision to fire restraint systems in a crash by evaluating the deceleration of the entire vehicle during the single events of the accident. In order to meet the ever increasing requirements of consumer test organizations and global legislators, a detailed knowledge of the nature and direction of the crash would be of great benefit. The algorithms used in current vehicles can only do this to a limited extent. André Leschke presents a completely different algorithm concept to solve these problems. In addition to vehicle deceleration, the chronological sequence of an accident and the associated local and temporal destruction of the vehicle are possible indicators for an accidents severity.About the Author:Dr. André Leschke has earned his doctoral degree from Tor-Vergata University of Rome, Italy. Currently, he is working as head of a team of vehicle safety developers in the German automotive industry.

Autorenporträt

Dr. André Leschke has earned his doctoral degree from Tor-Vergata University of Rome, Italy. Currently, he is working as head of a team of vehicle safety developers in the German automotive industry.

Herstellerkennzeichnung:


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E-Mail: juergen.hartmann@springer.com

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